Download

Full Text

• Abay, K. A., Berhane, G., Hoddinott, J., & Tafere, K., (2022). Respondent fatigue reduces dietary diversity scores reported from mobile phone surveys in Ethiopia during the COVID-19 Pandemic. The Journal of nutrition, 152(10), 2269–2276. https://doi.org/10.1093/jn/nxac153
• Abebe, G. K., Bijman, J., Pascucci, S., & Omta, O., (2013). Adoption of improved potato varieties in Ethiopia: The role of agricultural knowledge and innovation system and smallholder farmers’ quality assessment. Agricultural Systems, 122, 22–32. http://doi.org/10.1016/j.agsy.2013.07.008
• Abera, W., Assen, M., & Budds, J., (2020). Determinants of agricultural land management practices among smallholder farmers in the Wanka watershed, northwestern highlands of Ethiopia. Land Use Policy, 99, 104841. https://doi.org/10.1016/j.landusepol.2020.104841
• Adams, A., & Jumpah, E. T., (2021). Agricultural technologies adoption and smallholder farmers’ welfare: Evidence from Northern Ghana. Cogent Economics & Finance, 9(1), 2006905. https://doi.org/10.1080/23322039.2021.2006905
• Adesemoye, A. O., Torbert, H. A., & Kloepper, J. W., (2008). Enhanced plant nutrient use efficiency with PGPR and AMF in an integrated nutrient management system. Canadian Journal of Microbiology, 54(10), 876–886. https://doi.org/10.1139/W08-081
• Adzawla, W., Setsoafia, E. D., Setsoafia, E. D., Amoabeng-Nimako, S., Atakora, W. K., & Bindraban, P. D., (2024). Accuracy of agricultural data and implications for policy: Evidence from maize farmer recall surveys and crop cuts in the Guinea Savannah zone of Ghana. Agricultural Systems, 214, 103817. https://doi.org/10.1016/j.agsy.2023.103817
• Ahoudou, I., Sogbohossou, D. E., Hotegni, N. V. F., Adjé, C. O., Komlan, F. A., Moumouni-Moussa, I., & Achigan-Dako, E. G., (2023). Farmers’ selection criteria for sweet potato varieties in Benin: An application of Best-Worst Scaling. Experimental Agriculture, 59, e25. https://doi.org/10.1017/S0014479723000224
• Ajzen, I., (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Alene, A. D., & Coulibaly, O., (2009). The impact of agricultural research on productivity and poverty in sub-Saharan Africa. Food Policy, 34(2), 198–209. https://doi.org/10.1016/j.foodpol.2008.10.014
• Ali, J., Jewel, Z. A., Mahender, A., Anandan, A., Hernandez, J., & Li, Z., (2018). Molecular genetics and breeding for nutrient use efficiency in rice. International Journal of Molecular Sciences, 19(6), 1762. https://doi.org/10.3390/ijms19061762
• Angélique, N. C., Stany, V., Lebailly, P., & Azadi, H., (2022). Agricultural development in the fight against poverty: The case of South Kivu, DR Congo. Land, 11(4), 472. https://doi.org/10.3390/land11040472
• Ansoms, A., Claessens, K., & Mudinga, E., (2012). L’accaparement des terres par des élites en territoire de Kalehe, RDC. L’Afrique des Grands Lacs, Annuaire, 208–209.
• Asante, O. B., Villano, R. A., Patrick, I. W., & Battese, E. G., (2017). Determinants of farm diversification in integrated crop-livestock farming systems in Ghana. Renewable Agriculture and Food Systems, 1–19. https://doi.org/10.1017/S1742170516000545
• Asrat, S., Yesuf, M., Carlsson, F., & Wale, E., (2010). Farmers’ preferences for crop variety traits: Lessons for on-farm conservation and technology adoption. Ecological Economics, 69(12), 2394–2401. https://doi.org/10.1016/j.ecolecon.2010.07.006
• Balasha, M. A., Kitsali Katungo, J. H., Murhula Balasha, B., Hwali Masheka, L., Bitagirwa Ndele, A., Cirhuza, V., … Bismwa, B., (2021). Perception et stratégies d’adaptation aux incertitudes climatiques par les exploitants agricoles des zones marécageuses au Sud-Kivu. VertigO-la Revue électronique en Sciences de L'environnement, 21(1), https://doi.org/10.4000/vertigo.31673
• Bass, A., Brdiczka, D., Eyer, P., Hofer, S., & Pette, D., (1969). Metabolic differentiation of distinct muscle types at the level of enzymatic organization. European Journal of Biochemistry, 10(2), 198–206.
• Bir, C., Delgado, M., & Widmar, N., (2022). Development, implementation, and evaluation of a more efficient method of Best-Worst Scaling data collection. Agricultural and Resource Economics Review, 51(1), 178–201. https://doi.org/10.1017/age.2021.27
• Burton, N., Burton, M., Fisher, C., Peña, P. G., Rhodes, G., & Ewing, L., (2021). Beyond Likert ratings: Improving the robustness of developmental research measurement using best–worst scaling. Behavior Research Methods, 1–7. https://doi.org/10.3758/s13428-021-01566-w
• Byerlee, D., De Janvry, A., Sadoulet, E., Townsend, R., & Klytchnikova, I., World development report 2008; agriculture for development.
• CAID. (2019). Évaluation de la Campagne Agricole 2018-2019, Impact des Maladies Zoo-phytosanitaires, Sécurité Alimentaire et nutritionnelle. Rapport Ministère de L’agriculture, RDC, 93.
• Chuma, G. B., Mondo, J. M., Ndeko, A. B., Bagula, E. M., Lucungu, P. B., Bora, S. F., … Bielders, C. L., (2022). Farmers’ knowledge and practices of soil conservation techniques in smallholder farming systems of Northern Kabare, East of DR Congo. Environmental Challenges, 100516. https://doi.org/10.1016/j.envc.2022.100516
• Cirimwami, J. P. K., Ramananarivo, S., Mutabazi, A. N., Muhigwa, B., Bisimwa, E. B., Ramananarivo, R., & Razafiarijaona, J., (2019). Analyse de la situation de la sécurité alimentaire au sein des ménages du Sud-Kivu Montagneux en République Démocratique du Congo. International Journal of Innovation and Applied Studies, 26(2), 503–525.
• Cokola, M. C., Mugumaarhahama, Y., Noël, G., Bisimwa, E. B., Bugeme, D. M., Chuma, G. B., … Francis, F., (2020). Bioclimatic zonation and potential distribution of Spodoptera frugiperda (Lepidoptera: Noctuidae) in South Kivu Province, DR Congo. BMC Ecology, 20(1), 1–13. doi:10.1186/s12898-020-00335-1
• Craft, S., Winstock, A., Ferris, J., Mackie, C., Lynskey, M. T., & Freeman, T. P., (2020). Characterising heterogeneity in the use of different cannabis products: Latent class analysis with 55 000 people who use cannabis and associations with severity of cannabis dependence. Psychological Medicine, 50(14), 2364–2373. https://doi.org/10.1017/S0033291719002460
• Dahlin, A. S., & Rusinamhodzi, L., (2019). Yield and labor relations of sustainable intensification options for smallholder farmers in sub-Saharan Africa. A meta-analysis. Agronomy for Sustainable Development, 39(3), https://doi.org/10.1007/s13593-019-0575-1
• Danso-Abbeam, G., Bosiako, J. A., Ehiakpor, D. S., & Mabe, F. N., (2017). Adoption of improved maize variety among farm households in the northern region of Ghana, Cogent Economics & Finance, ISSN 2332-2039. pp. 1–14, Vol. 5, Issue 1. Taylor & Francis. http://doi.org/10.1080/23322039.2017.1416896
• Dao, A., Sanou, J., Gracen, V., & Danquah, E. Y., (2015). Indentifying farmers’ preferences and constraints to maize production in two agro-ecological zones in Burkina Faso. Agriculture & Food Security, 4(1), 1–7. http://doi.org/10.1186/s40066-015-0035-3
• Dontsop Nguezet, P. M., Manyong, V. M., Abdoulaye, T., Alene, A., Amato, M. S., Ainembabazi, J. H., … Okafor, C., (2016). Non-farm activities and adoption of improved cassava and beans varieties in South-Kivu, DR Congo. Tropicultura. https://hdl.handle.net/10568/77858.
• FAOSTAT. Agriculture–Total, FAOSTAT [data set], available at: https://www.fao.org/faostat/en/#data, last accessed: 20 May 2022.
• Flynn, T. N., Louviere, J. J., Peters, T. J., & Coast, J., (2007). Best–worst scaling: What it can do for health care research and how to do it. Journal of Health Economics, 26(1), 171–189. https://doi.org/10.1016/j.jhealeco.2006.04.002
• Furaha, Mirindi, G., Namegabe, Mastaki, J. L., & Lebailly, P., (2016). L'impact des activités non agricoles sur la pauvreté et l'inégalité rurales dans les groupements Bugorhe et Irhambi-Katana (Territoire de Kabare, Province du Sud-Kivu). Journal of Oriental and African Studies, 25
• Gyawali, S., Sunwar, S., Subedi, M., Tripathi, M., Joshi, K. D., & Witcombe, J. R., (2007). Collaborative breeding with farmers can be effective. Field Crops Research, 101(1), 88–95. https://doi.org/10.1016/j.fcr.2006.09.013
• Heri-Kazi, A. B., & Bielders, C. L., (2020) Dégradation des terres cultivées au Sud-Kivu, RD Congo: perceptions paysannes et caractéristiques des exploitations agricoles. BASE. https://doi.org/10.25518/1780-4507.18544
• Islam, A. N., (2014). Sources of satisfaction and dissatisfaction with a learning management system in post-adoption stage: A critical incident technique approach. Computers in Human Behavior, 30, 249–261. https://doi.org/10.1016/j.chb.2013.09.010
• Jaleta, M., Kassie, M., Marenya, P., Yirga, C., & Erenstein, O., (2018). Impact of improved maize adoption on household food security of maize producing smallholder farmers in Ethiopia. Food Security, 10(1), 81–93. https://doi.org/10.1007/s12571-017-0759-y
• Jandrain, A., (2020). Politique semencière de la RDC: Politique importée des bailleurs pour l’implémenter. Conjonctures de L'Afrique Centrale, (95), 213.
• Jeong, D., Aggarwal, S., Robinson, J., Kumar, N., Spearot, A., & Park, D. S., (2023). Exhaustive or exhausting? Evidence on respondent fatigue in long surveys. Journal of Development Economics, 161, 102992. https://doi.org/10.1016/j.jdeveco.2022.102992
• Jin, S., Mansaray, B., Jin, X., & Li, H., (2020). Farmers’ preferences for attributes of rice varieties in Sierra Leone. Food Security, 12(5), 1185–1197. https://doi.org/10.1007/s12571-020-01019-w
• Kazige, O. K., Chuma, G. B., Lusambya, A. S., Mondo, J. M., Balezi, A. Z., Mapatano, S., & Mushagalusa, G. N., (2022). Valorizing staple crop residues through mushroom production to improve food security in eastern Democratic Republic of Congo. Journal of Agriculture and Food Research, 8, 100285. https://doi.org/10.1016/j.jafr.2022.100285
• Kikulwe, E. M., Wesseler, J., & Falck-Zepeda, J., (2011). Attitudes, perceptions, and trust. Insights from a consumer survey regarding genetically modified banana in Uganda. Appetite, 57(2), 401–413. https://doi.org/10.1016/j.appet.2011.06.001
• Knox, J., Hess, T., & Daccache, A., (2012). T Wheeler Climate change impacts on crop productivity in Africa and South Asia Environmental Research Letters; 7, Article 034032.
• Koller, K., Pankowska, P. K., & Brick, C., (2023). Identifying bias in self-reported pro-environmental behavior. Current Research in Ecological and Social Psychology, 4, 100087. https://doi.org/10.1016/j.cresp.2022.100087
• Kuivanen, K. S., Alvarez, S., Michalscheck, M., Adjei-Nsiah, S., Descheemaeker, K., Mellon-Bedi, S., & Groot, J. C., (2016). Characterising the diversity of smallholder farming systems and their constraints and opportunities for innovation: A case study from the Northern Region, Ghana. NJAS-Wageningen Journal of Life Sciences, 78(1), 153–166. http://doi.org/10.1016/j.njas.2016.04.003
• Kulimushi, P. Z., Basime, G. C., Nachigera, G. M., Thonart, P., & Ongena, M., (2018). Efficacy of Bacillus amyloliquefaciens as biocontrol agent to fight fungal diseases of maize under tropical climates: From lab to field assays in south Kivu. Environmental Science and Pollution Research, 25(30), 29808–29821. https://doi.org/10.1007/s11356-017-9314-9
• Kumar, S., Craufurd, P., Haileslassie, A., Ramilan, T., Rathore, A., & Whitbread, A., (2019). Farm typology analysis and technology assessment: An application in an arid region of South Asia. Land Use Policy, 88, 104149. https://doi.org/10.1016/j.landusepol.2019.104149
• Lancaster, T., (1976). Redundancy, unemployment and manpower policy: A comment. The Economic Journal, 86(342), 335–338. https://www.jstor.org/stable/2230754
• Lunduka, R., Fisher, M., & Snapp, S., (2012). Could farmer interest in a diversity of seed attributes explain adoption plateaus for modern maize varieties in Malawi?Food Policy, 37(5), 504–510. http://doi.org/10.1016/j.foodpol.2012.05.001
• Maass, B. L., Katunga Musale, D., Chiuri, W. L., Gassner, A., & Peters, M., (2012). Challenges and opportunities for smallholder livestock production in post-conflict South Kivu, eastern DR Congo. Tropical Animal Health and Production, 44(6), 1221–1232. https://doi.org/10.1007/s11250-011-0061-5
• Mafouasson, H. N. A., Kenga, R., Gracen, V., Ntsomboh-Ntsefong, G., Tandzi, L. N., & Tata Ngome, P. I., (2020). Production constraints, farmers’ preferred characteristics of maize varieties in the bimodal humid forest zone of Cameroon and their implications for plant breeding. Agricultural Research, 9(4), 497–507. https://doi.org/10.1007/s40003-020-00463-6
• Makate, C., Makate, M., Mango, N., & Siziba, S., (2019). Increasing resilience of smallholder farmers to climate change through multiple adoption of proven climate-smart agriculture innovations. Lessons from Southern Africa. Journal of Environmental Management, 231, 858–868. https://doi.org/10.1016/j.jenvman.2018.10.069
• Maligalig, R., Demont, M., Umberger, W. J., & Peralta, A., (2021). Understanding Filipino rice farmer preference heterogeneity for varietal trait improvements: A latent class analysis. Journal of Agricultural Economics, 72(1), 134–157. https://doi.org/10.1111/1477-9552.12392
• Manandhar, A., Milindi, P., & Shah, A., (2018). An overview of the post-harvest grain storage practices of smallholder farmers in developing countries. Agriculture, 8(4), 57. doi:10.3390/agriculture8040057
• Mansaray, B., Jin, S., & Horlu, G. S. A., (2019). Do land ownership and agro-ecological location of farmland influence adoption of improved rice varieties? Evidence from Sierra Leone. Agriculture, 9(12), 256. https://doi.org/10.3390/agriculture9120256
• Marenya, P. P., Wanyama, R., Alemu, S., & Woyengo, V., (2021). Trait preference trade-offs among maize farmers in western Kenya. Heliyon, 7(3), e06389. https://doi.org/10.1016/j.heliyon.2021.e06389
• Mastenbroek, A., Sirutyte, I., & Sparrow, R., (2021). Information barriers to adoption of agricultural technologies: Willingness to Pay for certified seed of an open pollinated maize variety in northern Uganda. Journal of Agricultural Economics, 72(1), 180–201. https://doi.org/10.1111/1477-9552.12395
• Meena, V. S., Meena, S. K., Verma, J. P., Kumar, A., Aeron, A., Mishra, P. K., … Dotaniya, M. L., (2017). Plant beneficial rhizospheric microorganism (PBRM) strategies to improve nutrients use efficiency: A review. Ecological Engineering, 107, 8–32. https://doi.org/10.1016/j.ecoleng.2017.06.058
• Merga, G., Sileshi, M., & Zeleke, F., (2023). Welfare impact of improved maize varieties adoption among smallholder farmers in Amuru district of Horo Guduru Wollega, Ethiopia. Cogent Economics & Finance, 11(1), 2207923. https://doi.org/10.1080/23322039.2023.2207923
• Mondo, J. M., Irenge, A. B., Ayagirwe, R. B., Dontsop-Nguezet, P. M., Karume, K., Njukwe, E., … Mushagalusa, G. N. (2019). Determinants of adoption and farmers’ preferences for cassava varieties in Kabare Territory, Eastern Democratic Republic of Congo. American Journal of Rural Development, 7 (2), 44–52.
• Morris, M. L., & Bellon, M. R., (2004). Participatory plant breeding research: Opportunities and challenges for the international crop improvement system. Euphytica, 136(1), 21–35. https://doi.org/10.1023/B:EUPH.0000019509.37769.b1
• Mottaleb, K. A., (2022). Impacts of transboundary crop diseases on sustainable crop production: The case of Maize Lethal Necrosis (MLN) in Africa. In Agricultural development in Asia and Africa: Essays in honor of Keijiro Otsuka (pp. 163–179). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-5542-6_13
• Mugumaarhahama, Y., Mondo, J. M., Cokola, M. C., Ndjadi, S. S., Mutwedu, V. B., Kazamwali, L. M., … Mushagalusa, G. N., (2021). Socio-economic drivers of improved sweet potato varieties adoption among smallholder farmers in South-Kivu Province, DR Congo. Scientific African, 12, e00818. https://doi.org/10.1016/j.sciaf.2021.e00818
• Mushagalusa, G. N., Karume, K., Mondo, J. M., & Ndeko, A. B., (2020). Situation de référence de l’agro-écologie dans les zones d’intervention du Consortium CPR Idjwi-3čme CBCA, IADL ASBL, Plate-forme DIOBASS et CAPA-CBCA au Sud-Kivu. Rapport de consultance, Université Evangélique en Afrique, 160p. DRC.
• Ndeko, A. B., Basimine, G. C., Bagula, E. M., Mugumaarhahama, Y., Ndusha, B. N., Rehema, P., & Nachigera, G. M., (2019b). Comparative effect of Rhizophagus irregularis strain on cassava root development and Phosphorus uptake under acidic soils conditions of Walungu territory, Eastern DR Congo. Journal of Applied Biosciences, 148, 15167–15175. https://doi.org/10.35759/JABs.148.1
• Ndeko, A. B., Chuma, G. B., Cokola, M. C., Mondo, J. M., Mugumaarhahama, Y., Basengere, E. B., … Mushagalusa, G. N., (2024). Typology of smallholder maize farmers in South-Kivu, Eastern DR Congo: Implications in improving farming practices and markets. Discover Agriculture, 2(1), 47. https://doi.org/10.1007/s44279-024-00053-y
• Ndeko, A. B., Chuma, G. B., Muguma, A., Shakanye, N., Bukomarhe, C., & Kulimushi, Z., (2019a). Diagnostic des systèmes de production à base du sorgho dans les hautes et basses altitudes au Sud - Kivu à l’Est de la RDC: Perspectives d’amélioration de la filière. Afr. SCIE, 15(1), 37–49.
• Ndeko, A. B., Founoune-Mboup, H., Kane, A., & Cournac, L., (2022). Arbuscular mycorrhizal fungi alleviate the negative effect of temperature stress in millet lines with contrasting soil aggregation potential. Gesunde Pflanzen, 15, 1. https://doi.org/10.1007/s10343-021-00588-w
• Ogada, M. J., Mwabu, G., & Muchai, D., (2014). Farm technology adoption in Kenya: A simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions. Agricultural and Food Economics, 2(1), 1–18. https://doi.org/10.1186/s40100-014-0012-3
• Pypers, P., Sanginga, J. M., Kasereka, B., Walangululu, M., & Vanlauwe, B., (2011). Increased productivity through integrated soil fertility management in cassava–legume intercropping systems in the highlands of Sud-Kivu, DR Congo. Field Crops Research, 120(1), 76–85. https://doi.org/10.1016/j.fcr.2010.09.004
• Qaim, M., (2020). Role of new plant breeding technologies for food security and sustainable agricultural development. Applied Economic Perspectives and Policy, 42(2), 129–150. doi:10.1002/aepp.13044
• Rattunde, F., Weltzien, E., Sidibé, M., Diallo, A., Diallo, B., Vom Brocke, K., … Christinck, A., (2021). Transforming a traditional commons-based seed system through collaborative networks of farmer seed-cooperatives and public breeding programs: The case of sorghum in Mali. Agriculture and Human Values, 38(2), 561–578. https://doi.org/10.1007/s10460-020-10170-1
• Ruzzante, S., Labarta, R., & Bilton, A., (2021). Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature. World Development, 146, 105599. https://doi.org/10.1016/j.worlddev.2021.105599
• Seed system Group. (2019). Feasibility study for the development of public-private seed delivery systems in D R Congo. Consultancy report, 45p. DRC.
• Semahegn, Y., Shimelis, H., Laing, M., & Mathew, I., (2021). Farmers’ preferred traits and perceived production constraints of bread wheat under drought-prone agro-ecologies of Ethiopia. Agriculture & Food Security, 10(1), 1–13. https://doi.org/10.1186/s40066-021-00290-0
• Senyolo, M. P., Long, T. B., Blok, V., Omta, O., & van der Velde, G., (2021). Smallholder adoption of technology: Evidence from the context of climate smart agriculture in South Africa. Journal of Development and Agricultural Economics, 13(2), 156–173. https://doi.org/10.5897/JDAE2020.1191
• Sibiya, J., Tongoona, P., Derera, J., & Makanda, I., (2013). Farmers’ desired traits and selection criteria for maize varieties and their implications for maize breeding: A case study from KwaZulu-Natal Province, South Africa. Journal of Agriculture and Rural Development in the Tropics and Subtropics (JARTS), 114(1), 39–49. http://nbn-resolving.de/urn:nbn:de:hebis:34-2013030542599.
• Sisay, D., Jema, H., Degye, G., & Abdi-Khalil, E., (2015). Speed of improved maize seed adoption by smallholder farmers in Southwestern Ethiopia: Analysis using the count data models. Journal of Agricultural Economics, Extension and Rural Development, 3(5), 276–282.
• Team, R. C., (2018). R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Google Scholar.
• Teeken, B., Olaosebikan, O., Haleegoah, J., Oladejo, E., Madu, T., Bello, A., … Tufan, H. A., (2018). Cassava trait preferences of men and women farmers in Nigeria: Implications for breeding. Economic Botany, 72(3), 263–277. https://doi.org/10.1007/s12231-018-9421-7
• Vermunt, J. K., (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18(4), 450–469. https://doi.org/10.1093/pan/mpq025
• Witcombe, J. R., Joshi, K. D., Gyawali, S., Musa, A. M., Johansen, C., Virk, D. S., & Sthapit, B. R., (2005). Participatory plant breeding is better described as highly client-oriented plant breeding. I. Four indicators of client-orientation in plant breeding. Experimental Agriculture, 41(3), 299–319. https://doi.org/10.1017/S0014479705002656
• Wordofa, M. G., Hassen, J. Y., Endris, G. S., Aweke, C. S., Moges, D. K., & Rorisa, D. T., (2021). Adoption of improved agricultural technology and its impact on household income: A propensity score matching estimation in eastern Ethiopia. Agriculture & Food Security, 10(1), 1–12. https://doi.org/10.1186/s40066-020-00278-2
• Wu, J., Zhang, J., Ge, Z., Xing, L., Han, S., Shen, C., & Kong, F., (2021). Impact of climate change on maize yield in China from 1979 to 2016. Journal of Integrative Agriculture, 20(1), 289–299. doi:10.1016/S2095-3119(20)63244-0
• Yin, S., & Yu, Y. (2022). An adoption-implementation framework of digital green knowledge to improve the performance of digital green innovation practices for industry 5.0. Journal of Cleaner Production, 363, 132608. https://doi.org/10.1016/j.jclepro.2022.132608